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Segmentasi Pelanggan E-Commerce Berdasarkan Pola Pembatalan dan Pengembalian Pesanan Menggunakan K-Means Arifin, Yulia Natasya Farah Diba; Zubair, Anis
JUSIFOR : Jurnal Sistem Informasi dan Informatika Vol 4 No 2 (2025): JUSIFOR - Desember 2025
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/jusifor.v4i2.8887

Abstract

This study examines e-commerce customer segmentation based on cancellation and return behaviors using K-Means clustering as a proof-of-concept. Using the Pakistan E-Commerce Dataset (2017), we performed preprocessing, behavioral feature engineering (Cancellation Rate, Return Rate, Average Order Value, Discount Sensitivity, Preferred Payment Method, and Total Orders), Min–Max normalization, and K-Means modeling. Cluster number validation relied on the Elbow Method, Silhouette Score, and PCA visualization. Results indicate K = 3 stable clusters: Price-Sensitive Customers (69.48%) high per-order value but price-sensitive; Loyal Customers (13.55%), high frequency and low CR/RR; and High-Risk Customers (16.97%), high return rate with low value contribution. The findings demonstrate K-Means’ effectiveness in identifying cancellation/return patterns and provide a conceptual basis for risk management and further analysis.
Perbandingan Double Exponential Smoothing, Single Exponential Smoothing dan MA terhadap Peramalan Jumlah Pelanggan Di Gendis Jowo Soetedja, Aryadhiva; Hidayati, Rahmatina; Zubair, Anis; Indana, Luthfi
JUSIFOR : Jurnal Sistem Informasi dan Informatika Vol 4 No 2 (2025): JUSIFOR - Desember 2025
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/jusifor.v4i2.8896

Abstract

Gendis Jowo experiences fluctuations in the number of nasi box customers, which lead to suboptimal stock management and operational inefficiency, thereby requiring a forecasting approach to predict customer numbers more accurately. This study applies three forecasting methods Single Exponential Smoothing (SES), Double Exponential Smoothing (DES), and Moving Average (MA)—with the aim of determining the most accurate method for forecasting the next period’s customer count. Historical data from January 2022 to August 2025 were analyzed, with SES and DES parameters optimized using the Optimal ARIMA approach, and accuracy evaluated through MAPE, MAD, and MSD. The results show that the Moving Average method with a length of 4 (MA4) provides the highest accuracy with the lowest error values, making it the best-performing model. Based on the MA4 method, the number of customers for the next period is predicted to be 1,065.88, and this result can be used to plan stock requirements, packaging needs, and operational activities more effectively.
Rebranding UMKM “produk olahan Aloe vera” di kelurahan Ciptomulyo Rahmatina Hidayati; Anis Zubair; Viry Puspaning Ramadhan; Iqbal Baghis Kenvin
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 1 (2024): March
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i1.15440

Abstract

Abstrak                                                                                  Di Kelurahan Ciptomulyo, Kecamatan. Sukun, Kota Malang terdapat UMKM yang bernama Warung Perempuan Mandiri. Salah satu kegiatan UMKM ini adalah membuat makanan dan minuman yang berbahan dasar Aloe vera (lidah buaya). Proses produksi olahan Aloe vera dilakukan ketika menerima pesanan. Namun, kegiatan ini terhenti semenjak pandemi Covid-19 tahun 2020. Padahal sumber dana UMKM Warung Perempuan Mandiri adalah dari hasil berjualan. Tim Pengabdi Universitas Merdeka Malang yang terdiri dari dosen dan mahasiswa membuat program kerja membangkitkan kembali produk olahan Aloe vera. UMKM mengolah Aloe vera menjadi minuman sari, sirup, dan serabi. Pada kemasan produk sebelumnya, belum terdapat logo dan label yang digunakan belum mencantumkan komposisi, serta masa berlaku produk. Dari permasalahan tersebut, Tim Pengabdi membuatkan design logo dan redesign label serta mengganti packaging. Kegiatan ini dinamakan dengan rebranding. Hasil dari pengabdian ini berupa logo, desain label baru, dan packaging baru. Kata kunci: rebranding; UMKM; lidah buaya AbstractIn Ciptomulyo Village, Kec. Sukun, Malang City has an UMKM called Warung Perempuan Mandiri. One of these UMKM activities is making food and drinks made from Aloe vera. The production process of Aloe vera products  is carried out when receiving an order. However, this activity has been stoped  since the Covid-19 pandemic in 2020. Even though the source of funds for the UMKM Mandiri Women Shop is from sales. The Merdeka University Malang Service Team consisting of lecturers and students created a work program to revive processed Aloe vera products. UMKM processes Aloe vera into juice, syrup and pancakes. On the previous product packaging, there was no logo and the label used did not include the composition and validity period of the product. From these problems, the Service Team made a logo design and redesigned the label and replaced the packaging. This activity is called rebranding. The results of this dedication are in the form of logo, new label designs, and new packaging. Keywords: rebranding; UMKM; Aloe vera